Analysis of car parking industry from social community perspective |
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Author: | Arhab, Nabil1; Oussalah, Mourad1; Kokkonen, Henna2; |
Organizations: |
1Faculty of ITEE, CMVS, University of Oulu, Oulu, Finland 2Faculty of ITEE, Computer Science Department, University of Oulu, 90014, Oulu, Finland |
Format: | article |
Version: | published version |
Access: | open |
Online Access: | PDF Full Text (PDF, 2.1 MB) |
Persistent link: | http://urn.fi/urn:nbn:fi-fe2023070477627 |
Language: | English |
Published: |
Springer Nature,
2022
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Publish Date: | 2023-07-04 |
Description: |
AbstractIn the era of web 2.0, social media has reshaped several industries nowadays, putting citizen’s view at the heart of their strategy and business model. This paper put forward a new approach to examine car parking industry ecosystem from social media perspective as revealed by the structure and insights inferred from hashtags network analysis. Starting with initial car-parking leading hashtags, Twitter data were collected with a special focus on monitoring various hashtags generated as part of this data collection process. An original approach that exploits social network attributes and a set of rational interpretation principles is devised to infer a set of explainable communities. Each community is next analyzed in terms of industry sector interactions, user’s engagement and presence of bots and global trends. The findings reveal useful insights in terms of comprehending the car-parking ecosystem as well as user’s parking behavior. Especially, the results indicate the prevalence of social, economical and technological aspects that impact all detected communities at various degree. see all
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Series: |
Social network analysis and mining |
ISSN: | 1869-5450 |
ISSN-E: | 1869-5469 |
ISSN-L: | 1869-5450 |
Volume: | 12 |
Issue: | 1 |
Article number: | 162 |
DOI: | 10.1007/s13278-022-00981-x |
OADOI: | https://oadoi.org/10.1007/s13278-022-00981-x |
Type of Publication: |
A1 Journal article – refereed |
Field of Science: |
113 Computer and information sciences |
Subjects: | |
Funding: |
This study has been performed as part of European Regional IPaWa (2019-2022) project on smart parking in Oulu region in Finland and Academy of FinlandDigiHealth Projects No. 326291 which are gratefully acknowledged. The content of the article only reflects the view of the authors who carried this work and not been influenced by the funders. Open Access funding provided by University of Oulu including Oulu University Hospital. |
Copyright information: |
© The Author(s) 2022. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
https://creativecommons.org/licenses/by/4.0/ |